APPARATUS FOR MEDICAL IMAGE ANALYSIS
    2.
    发明公开

    公开(公告)号:US20240257345A1

    公开(公告)日:2024-08-01

    申请号:US18564246

    申请日:2022-05-12

    Abstract: The present invention relates to an apparatus (10) for medical image analysis, comprising: a camera (20); a processing unit (30); and an output unit (40). The camera is configured to be placed in proximity of a system image display of a medical imaging system. The camera is configured to acquire a local image of a system image displayed on the system image display, wherein the system image comprises medical image data of a patient and wherein the local image comprises local image data of the medical image data of the patient. The processing unit is configured to determine a plurality of image and imaging parameters, the determination comprising utilization of the local image. The processing unit is configured utilize the plurality of image and imaging parameters to determine a process decision to: either determine if the local image data of the medical image data is suitable for further processing; or determine if a new local image is to be acquired and a new plurality of image and imaging parameters determined for the new local image and the new plurality of image and imaging parameters utilized to determine a new process decision. The output unit is configured to output image data.

    MULTI-TASK DEEP LEARNING METHOD FOR A NEURAL NETWORK FOR AUTOMATIC PATHOLOGY DETECTION

    公开(公告)号:US20220319160A1

    公开(公告)日:2022-10-06

    申请号:US17620142

    申请日:2020-06-25

    Abstract: Multi-task deep learning method for a neural network for automatic pathology detection, comprising the steps: receiving first image data (I) for a first image recognition task; receiving (S2) second image data (V) for a second image recognition task; wherein the first image data (I) is of a first datatype and the second image data (V) is of a second datatype, different from the first datatype; determining (S3) first labeled image data (IL) by labeling the first image data (I) and determining second synthesized labeled image data (ISL) by synthesizing and labeling the second image data (V); training (S4) the neural network based on the received first image data (I), the received second image data (V), the determined first labeled image data (IL) and the determined second labeled synthesized image data (ISL); wherein the first image recognition task and the second image recognition task relate to a same anatomic region where the respective image data is taken from and/or relate to a same pathology to be recognized in the respective image data.

    MEDICAL IMAGE DEVICE AND OPERATING METHOD

    公开(公告)号:US20210338185A1

    公开(公告)日:2021-11-04

    申请号:US17285968

    申请日:2019-10-18

    Abstract: This application proposes an improved medical imaging device enabling a timely communication of critical findings. The medical imaging device comprises an image acquisition unit, adapted to acquire image data of a subject to be imaged. The medical imaging device further comprises a local data processing device having an artificial-intelligence-module, Al-module, adapted to automatically detect a finding on basis of the acquired image data and to determine a priority status of the detected finding. Further, the medical imaging device comprises a notification module, adapted to provide, if the determined priority status reaches or exceeds a notification threshold, a notification data containing the detected finding. The application further proposes a medical imaging system, a method of operating a medical imaging device, a computer program element and a computer-readable medium having stored the computer program element.

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